Deep Dives

all of us do naturally and often. In our personal lives, we regularly keep to-do lists to organise holidays, errands, and all the things in between.  At work, we depend on task trackers and...

, we ensemble learning with voting, bagging and Random Forest. Voting itself is simply an aggregation mechanism. It doesn't create diversity, but combines predictions from already different models.Bagging, however, explicitly creates diversity by training...

a few failure that was something interesting. For months, I — together with a whole lot of others — have tried to construct a neural network that might learn to detect when AI systems...

of Contents 📄Python Notebook🍯Introduction🔍Example ABC Agent Search Progress⏳Agent Lifecycle in Swarm Optimization🐝The three Bee Agent Roles🪻Iris Dataset❄ Clustering – No labels? No problem!🏋️Fitness Model for Clustering🤔Confusion Matrix as a Diagnostic Tool🏃Running the Agentic AI...

couple of years, RAG has became a type of credibility signal within the AI field. If an organization desires to look serious to investors, clients, and even its own leadership, it’s now expected...

Gemini 3 models into Google AI Studio, I’ve been experimenting with it quite a bit. In reality, I find the concept of generative UI surprisingly useful for data scientists to streamline day-to-day work. On this...

, I'll present an answer to the Subset Sum Problem, which has linear time complexity (), if all of the ‘’ input values are “close enough” to one another. We are going to see...

grow more complex, traditional logging and monitoring fall short. What teams really want is observability: the power to trace agent decisions, evaluate response quality mechanically, and detect drift over time—without writing and maintaining...